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\begin{abstract}

In this assignment we use Rapidminer 5.1 to explore techniques of
preprocessing data and support vector machines (SVMs) to accurately predict
binary features. We demonstrate our techniques in modeling the response to the 
97NK mailing from the training KDD Cup 1998 data. After applying our techniques, we
created a model with \fix{number} $0/1$ accuracy and \fix{number} positive
class recall using a linear SVM and \fix{number} and \fix{number} using a
radial basis function kernel SVM.

\end{abstract}

